Human-ant behavior in evacuation dynamics

Recently, it has been shown that ants evacuate efficiently during a lifeand- death situation displaying an unselfish behavior (Boari et al., PlosOne 8:11, 2013, e81082). Here, we model this ant behavior and compare it with the more expected selfish (human) behavior by considering different mixtures...

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Autores principales: Parisi, Daniel Ricardo, Josens, Roxana Beatriz
Publicado: 2015
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97833191_v_n_p203_Parisi
http://hdl.handle.net/20.500.12110/paper_97833191_v_n_p203_Parisi
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spelling paper:paper_97833191_v_n_p203_Parisi2023-06-08T16:38:44Z Human-ant behavior in evacuation dynamics Parisi, Daniel Ricardo Josens, Roxana Beatriz Confined flow Granular materials Mixtures Ant behaviors Evacuation dynamics Evacuation time Optimum mixtures Social force models Behavioral research Recently, it has been shown that ants evacuate efficiently during a lifeand- death situation displaying an unselfish behavior (Boari et al., PlosOne 8:11, 2013, e81082). Here, we model this ant behavior and compare it with the more expected selfish (human) behavior by considering different mixtures of evacuating agents with both kind of behaviors. Two unselfish behaviors were studied using the social force model as physical bases. For the ant-like behavior, an optimum mixture is found at 80%. In the case of living-obstacle behavior, only 29% is required to achieve the minimum evacuation time. In general, the simulations with a mixture of selfish and unselfish behavior show improvement in the evacuation time and blockage probability of the exit. � Springer International Publishing Switzerland 2015. Fil:Parisi, D.R. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Josens, R. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2015 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97833191_v_n_p203_Parisi http://hdl.handle.net/20.500.12110/paper_97833191_v_n_p203_Parisi
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Confined flow
Granular materials
Mixtures
Ant behaviors
Evacuation dynamics
Evacuation time
Optimum mixtures
Social force models
Behavioral research
spellingShingle Confined flow
Granular materials
Mixtures
Ant behaviors
Evacuation dynamics
Evacuation time
Optimum mixtures
Social force models
Behavioral research
Parisi, Daniel Ricardo
Josens, Roxana Beatriz
Human-ant behavior in evacuation dynamics
topic_facet Confined flow
Granular materials
Mixtures
Ant behaviors
Evacuation dynamics
Evacuation time
Optimum mixtures
Social force models
Behavioral research
description Recently, it has been shown that ants evacuate efficiently during a lifeand- death situation displaying an unselfish behavior (Boari et al., PlosOne 8:11, 2013, e81082). Here, we model this ant behavior and compare it with the more expected selfish (human) behavior by considering different mixtures of evacuating agents with both kind of behaviors. Two unselfish behaviors were studied using the social force model as physical bases. For the ant-like behavior, an optimum mixture is found at 80%. In the case of living-obstacle behavior, only 29% is required to achieve the minimum evacuation time. In general, the simulations with a mixture of selfish and unselfish behavior show improvement in the evacuation time and blockage probability of the exit. � Springer International Publishing Switzerland 2015.
author Parisi, Daniel Ricardo
Josens, Roxana Beatriz
author_facet Parisi, Daniel Ricardo
Josens, Roxana Beatriz
author_sort Parisi, Daniel Ricardo
title Human-ant behavior in evacuation dynamics
title_short Human-ant behavior in evacuation dynamics
title_full Human-ant behavior in evacuation dynamics
title_fullStr Human-ant behavior in evacuation dynamics
title_full_unstemmed Human-ant behavior in evacuation dynamics
title_sort human-ant behavior in evacuation dynamics
publishDate 2015
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97833191_v_n_p203_Parisi
http://hdl.handle.net/20.500.12110/paper_97833191_v_n_p203_Parisi
work_keys_str_mv AT parisidanielricardo humanantbehaviorinevacuationdynamics
AT josensroxanabeatriz humanantbehaviorinevacuationdynamics
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